IEEE

Blind Denoising Autoencoder

Abstract: The term “blind denoising” refers to the fact that the basis used for denoising is learned from the noisy sample itself during denoising. Dictionary learning- and transform learning-based ...
IEEE

A Dual Deep Neural Network Approach for Discriminating Internal Faults and Inrush Currents in Transformers Under CT Saturation

Abstract: The dependability and security of transformer differential protection can be compromised by current transformer (CT) saturation, which distorts current measurements and may lead to the ...
GitHub

Ditto: Scaling Instruction-Based Video Editing with a High-Quality Synthetic Dataset

To solve the data scarcity problem, we introduce a scalable pipeline Ditto, for generating high-quality video editing data, which is used to train a new state-of-the-art instruction-based video ...
C&EN

MODAPro: Explainable Heterogeneous Networks with Variational Graph Autoencoder for Mining Disease-Specific Functional Molecules and Pathways from Omics Data

State Key Laboratory of Medical Proteomics, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, P. R. China University of Chinese Academy of Sciences, Beijing 100049, P.